Downhole Resistivity Permittivity Imaging for Rock Type Identification
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Solution Overview
Problem
Current methods for identifying subsurface formation textures and rock types in oil and gas exploration are limited by low resolution and inability to capture heterogeneous distribution patterns around the borehole, with geochemical logs averaging data over large volumes and not clearly relating resistivity to rock type or texture.
Innovation Solution
A system and method using a downhole tool with MHz-range sensors to acquire data and process characteristics like resistivity, permittivity, the relationship between resistivity and permittivity, standoff, and rugosity index, producing high azimuthal and vertical resolution images for texture distribution, lithological indicators, and rock type information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geochemical logs are used to obtain downhole measurements, then information on mineralogy and lithology is provided, but data is averaged over large volumes and heterogeneous distribution patterns around the borehole are not captured
Solution Approach 1:
The patent segments the formation measurement volume into multiple discrete sensing zones around the borehole. The imaging tool divides the formation into azimuthal sectors and vertical intervals, creating a segmented representation that captures heterogeneous patterns rather than averaging them. This segmentation allows distinct rock types and textures in different spatial locations to be identified separately.
Solution Approach 2:
The patent transitions from one-dimensional averaged log data to two-dimensional and three-dimensional imaging data. By adding azimuthal and vertical dimensions to the measurement, the system creates high-resolution images that display formation characteristics across multiple spatial dimensions, enabling visualization of heterogeneous distribution patterns that cannot be captured in averaged one-dimensional data.
2Loss of information
If low frequency electrical imaging tools are used to provide details of heterogeneous resistivity distribution around the borehole, then spatial distribution is captured, but the relationship between resistivity and rock type or texture is not apparent
Solution Approach 1:
The patent merges multiple measurement parameters (resistivity, permittivity, acoustic velocity, density) into a integrated imaging system. By combining these different physical properties in a multi-parameter imaging approach, the system creates images where rock type and texture can be identified through the combined signature of multiple measurements, not just resistivity alone. This merging allows the relationship between physical properties and rock characteristics to become apparent.
Solution Approach 2:
The patent uses composite imaging that integrates multiple types of formation data into unified rock type classifications. The system creates composite images that combine electrical, acoustic, and density information to produce a comprehensive characterization of rock types and textures, similar to how composite materials combine different properties to achieve enhanced performance.
3Measurement precision
If full cores are acquired during drilling and lab measurements are performed, then high resolution formation information is obtained, but the process is time-consuming and resource-intensive
Solution Approach 1:
The patent replaces the mechanical process of core acquisition, transport, and laboratory analysis with an in-situ imaging system. Instead of physically removing core samples and bringing them to the surface for measurement, the system uses downhole imaging tools to directly measure formation properties at the wellsite, substituting mechanical core handling with electronic sensing and imaging.
Solution Approach 2:
The patent creates digital copies of formation characteristics through imaging. The system generates high-resolution images that replicate the information obtained from core analysis, allowing formation characterization without physical core samples. These digital images serve as substitutes for traditional core photographs and laboratory measurement data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the extraction of high-resolution and broad-coverage information without the need for full cores, allowing for precise characterization of vugs, fractures, and differentiation between rock types, improving reservoir characterization and modeling.
Implementation Method 1
acquiring, into a processor, data in the MHz range from an array of sensors on a downhole tool
Data Source
AI summary
In one embodiment, a method includes receiving, via a processor, data from a plurality of imaging buttons disposed on a downhole tool within a borehole, generating, via the processor, a resistivity image, a permittivity image, a standoff curve, a rugosity index curve, a high-resolution image of a relationship between resistivity and permittivity of a section of a geological formation measured by the downhole tool, or some combination thereof based on the data, characterizing, via the processor, one or more vugs, one or more fractures, or some combination thereof based at least on the resistivity image, the permittivity image, the standoff curve, the rugosity index curve, the high-resolution image of the relationship between resistivity and permittivity, or some combination thereof, and identifying, via the processor, one or more rock types based at least on the high-resolution image of the relationship between resistivity and permittivity.


